Complete the following problems within this Word document. Do not submit other files. Show your work for problem sets that require calculations. Ensure that your answer to each problem is clearly visible. You may want to highlight your answer or use a different type color to set it apart.
Criterion: Identify dependent and independent variables.
Instructions: For the following list of examples, identify the dependent variable and independent (or quasi-independent) variable.
Independent Variable: Cocaine.
Quasi-Independent Variable: Groups of Cocaine-Dependent and Cocaine-Inexperienced Mice.
Dependent Variable: Impulsive Behavior
Independent Variable: Test Format.
Quasi-Independent Variable: Multiple-Choice Test Format and Fill-in the Blank Test Format.
Dependent Variable: Student’s Performance
Independent Variable: Smoking by Parents.
Quasi-Independent Variable – Groups of Smoking Parents and Non-Smoking Parents
Dependent Variable: Children’s Attitude towards Smoking Behavior.
Independent Variable: Political Affiliation.
Quasi-Independent Variable: Democratic and Republican.
Dependent Variable: Attitude towards Morality
Independent Variable: Differences in Culture.
Quasi-Independent Variable: Groups of people belonging to different cultures ( Western and Eastern Culture).
Dependent Variable: Beliefs that Dreams have Meaning.
Criterion: Describe the relationship between population and sample.
Instructions: Read the following and answer the question.
Height and educational attainment: Szklarska, Koziel, Bielicki, and Malina (2007) hypothesized that taller young men are more likely to move up the scale of educational attainment compared with shorter individuals from the same social background. They recruited 91,373 nineteen-year-old men to participate in the study.
Do these participants most likely represent a sample or population? Sample of the population is the correct answer. The participants are 19 years old and they have just gone into adulthood. The reason of the experiment is to measure the people in of tall and short height. In the adolescent period it is already obvious. When he goes to adulthood his future is already ok. Besides, his school education is done, and the result shows his educational and performance. By the study of the record of academic achievement it is obvious whether he is good student or not. Naturally, there is reflection of his educational capability
Criterion: Enter and display data in SPSS.
Instructions: Use the supplied data to complete Steps 1–8.
Data: Five social media users spent the following number of minutes viewing Twitter:
15.21, 46.18, 12.45, 65.486, 26.852.
Steps:
Criterion: Explain the identification of types of data.
Instruction: Fill in the table below. For each example, state whether it is grouped or ungrouped and why.
Example | Grouped or Ungrouped | Why |
The time (in seconds) it takes 100 children to complete a cognitive skills game.
|
Grouped | It is under Interval |
The number of single mothers with 1, 2, 3, or 4 children.
|
Ungrouped | It is raw data |
The number of teenagers who have experimented with smoking (yes, no).
|
Ungrouped | It is raw data |
The age (in years) of freshman students in a local college.
|
Grouped | Falls into Interval |
Criterion: Explain the identification of types of data.
Instructions: Read the following and answer the question.
Gun ownership in the United States: Data from Gallup polls over a 40-year period show how gun ownership in the United States has changed. The results are described in the table below, with the percentage of Americans who own guns given in each of 5 decades:
Year | % |
1972 | 43 |
1982 | 42 |
1992 | 48 |
2002 | 40 |
2012 | 43 |
Source: Reported at http://www.gallup.com/poll/1645/Guns.aspx
Gun ownership increased from 1972 to 1992 and then it fell till 2012. Overall, gun ownership did not decrease or increase from beginning all the way to the end.
Criterion: Locate data on a chart.
Instructions: Read the following and answer the questions.
Participant Characteristics | Count | ||
Type | Token | ||
Sex | |||
Women
Men Unknown |
24,541
23,617 479 |
878,261
751,188 927 |
|
Total | 1,630,376 |
Criterion: Identify frequencies and percents.
Instructions: State whether a cumulative frequency, relative frequency, relative percent, cumulative relative frequency, or cumulative percent is most appropriate for describing the following situations. For cumulative distributions, indicate whether these should be summarized from the top down or from the bottom up.
Data:
Criterion: Identify distribution type and number of people.
Instructions: Read the following and answer the questions.
Perceptions of same-sex marriage: In June 2016, a CBS News poll asked a sample of adults worldwide whether it should be legal or not legal for same-sex couples to marry (reported at http://www.pollingreport.com). The opinions of adults worldwide were as follows: 58%, legal; 33%, not legal; and 9%, unsure/no answer.
Criterion: Create an ascending frequency table in SPSS.
Instructions: Complete the following steps.
Data: The number of clicks per hour in forty different tweets: 1, 0, 8, 5, 2, 1, 8, 2, 0, 2, 6, 8, 7, 2, 0, 2, 7, 4, 6, 9, 3, 2, 9, 6, 9, 7, 5, 8, 8, 8, 9, 6, 5, 4, 8, 4, 5, 8, 5, 7
Note: Your answers to this problem set should be two separate SPSS outputs. Save your Clicks data to use in the next two problems.
Criterion: Construct a bar graph in SPSS.
Instructions: The Clicks data from Problem Set 1.10 is discrete. Complete the following steps to create a bar chart to examine the data:
Criterion: Construct a pie chart in SPSS.
Instructions: Complete the following steps to create a pie chart to examine the attendance data from Problem Set 1.10.
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